Top Machine Learning Jobs in Calgary

The Machine Learning Engineer will optimize content distribution systems, improve existing ML systems, and collaborate on scalable models for Quora's recommender systems.

As a Senior Machine Learning Engineer, you will develop and maintain advanced NLP applications for Poe, oversee machine learning systems, and collaborate on innovative AI-driven features.

As a Senior Staff Machine Learning Engineer, you'll develop generative AI/ML models, design algorithms, train large models, and collaborate with scientists for biological insights.

The Business Consulting Engineer will advise upstream oil & gas producers on utilizing AI for process optimization, bridging operations with technology and assisting in technical pre-sales activities.

The Developer Relations Engineer will create content, engage communities, and drive brand growth for Freeplay in the AI sector.

The Applied AI Researcher will develop innovative algorithms and models in Generative AI, focusing on multimodal data and collaboration with teams for deployment and validation.

Oversee research projects focused on Generative AI, manage teams, provide strategic direction, and collaborate with cross-functional units to integrate AI advancements.

The Senior Applied AI/ML Scientist leads the development of AI/ML solutions, collaborates with teams, and drives product innovation to enhance customer value.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

The role involves maturing MLOps practices, building infrastructure, collaborating with R&D, and managing ML pipelines and tools.

Assist senior ML engineers in researching, building, and deploying machine learning models, working with various data types while contributing to code reviews and technical discussions.

The role involves designing, implementing, and deploying perception algorithms for robots, integrating sensor technologies, and collaborating on AI systems.

The role involves building AI-driven self-driving systems, enhancing training frameworks, profiling model performance, and collaborating on innovative solutions.

Develop AI systems to enhance drug and materials discovery through reasoning techniques and complex biological data across multi-modal datasets.

As a Machine Learning Architect, you will guide teams in Agile ceremonies, lead architecture discussions, automate testing, and mentor peers while delivering AWS solutions.

Responsible for leading the ML engineering team, developing and maintaining ML infrastructure, and collaborating on model development to drive insights.

The AI/ML Specialist Solutions Architect will design scalable AI solutions, build customer relationships, deliver technical presentations, and collaborate with engineering teams to prioritize feedback.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

Design and build machine learning infrastructure for running real-time deep-learning models on large amounts of video. Develop a data engine for continuous training and collaborate with research scientists on AI advancements.

The Senior Machine Learning Developer will design, develop, and deploy ML systems and their platform, collaborating cross-functionally to optimize ad delivery and engagement.

Design and build ML operations systems, ensuring reliability and maintainability of models. Collaborate across teams and align technical solutions with business goals.

The role involves designing and deploying robot manipulation algorithms using reinforcement and imitation learning, integrating them into existing workflows, and mentoring junior engineers.

As a Machine Learning Engineer, you will develop LLM-powered agents, support prompt engineering, and work with senior engineers to deploy AI features in production.